Journal of Applied Data Sciences
Vol 4, No 4: DECEMBER 2023

Image Classifier based on Histogram Matching and Outlier Detection using Hellinger distance

Anamika Gupta (S.S. College of Business Studies, University of Delhi, India)
Sarabjeet Kaur Kochchar (Indraprastha College for Women, University of Delhi, India)
Anurag Joshi (S.S. College of Business Studies, University of Delhi, India)

Article Info

Publish Date
06 Dec 2023

Abstract

In this paper, we developed a prediction model based on histogram matching of Chest X-ray images. Hellinger distance metric is used to match two histograms. The chest x-ray images are pre-processed and converted to histograms. A benchmark histogram is obtained by finding the average of all pixel intensity values. Then outlier images are detected by comparing the histogram of an image with the benchmark histogram using the hellinger metric. Finally, a prediction method is proposed which matches the histogram of unseen images to histograms of nearest neighbor images.  Hypertuning of input parameters to the proposed prediction method is performed to get the best set of parameters. The proposed model gives an accuracy of 92.3 % and F1 score of 94.6 % on the training set, accuracy of 86.2% and F1 score of 89.6% on the test set.

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Journal Info
Journal of Applied Data Sciences
Website

Abbrev

JADS

Publisher

Bright Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...